On February 29th, at the "Bosch Connected World 2024" conference, Tesla CEO Elon Musk stated that while the chip shortage situation may be easing, the rapid expansion of artificial intelligence (AI) and electric vehicles (EVs) is likely to lead to global shortages in electricity and transformers next year.
Green Computing Carbon (GrCC): Empowering Sustainable Development
Behind AI lies computational power, and behind computational power lies energy consumption. While AI brings efficiency improvements to human society, it also brings governance and ethical crises. The development of artificial intelligence requires substantial energy and water resources, potentially leading to a new energy crisis. In October 2023, a study published in the "Joule" journal by a doctoral candidate at the Amsterdam Business School found that by 2027, the electricity consumption of AI servers would be equivalent to the entire energy demand of the Netherlands, which could undermine global efforts to reduce carbon emissions.
The industry has proposed a new concept: Green Computing Carbon to address this crisis. GrCC is a form of computational power infrastructure that achieves green, low-carbon, and sustainable development. It considers natural and environmental resources as key factors in computational development, integrating economic benefits with environmental protection and social responsibility. This approach enables low-carbon, clean, and efficient use of computational power, achieving "four-in-one" green development of computational facilities, equipment, platforms, and empowerment. According to the "White Paper on China's Computational Power Industry Development," the scale of China's computational power industry is expected to exceed ¥3 trillion by 2023, with an average annual growth rate exceeding 30%.
As a more environmentally friendly and efficient computing method, GrCC helps reduce energy consumption and carbon emissions and becomes an important force driving sustainable development. For nations, GrCC is both a strategic necessity and an inevitable development, playing a significant role in promoting high-quality development of the digital economy. For enterprises, GrCC is a key measure to reduce costs, increase efficiency, and improve quality, serving as a new engine for sustainable industrial development. (Source: China Academy of Information and Communications Technology)
Energy-saving Pioneer: SCRBH Series Amorphous Alloy Dry-type Transformers
The development of computational power is inseparable from electricity, which forms the foundation of computational power. Throughout the process of electricity transmission, ensuring a stable voltage supply is crucial for the stable and safe operation of the power system. Transformers play a vital role in providing stable voltage supply, ensuring smooth transmission of electricity to users, and meeting their power demand. With the continuous growth of data center demand and the accelerated pace of old grid renovation, the transformer market has shown tremendous development potential. Meanwhile, domestic transformer manufacturers, leveraging their technological and price advantages, as well as rapid response capabilities, are accelerating their expansion into overseas markets.
After years of accumulation and market validation, CEEG has developed core technologies and process characteristics, mastering various process levels and parameters of amorphous cores. With independent and proprietary production processes for amorphous alloy cores, CEEG has launched the "Energy-saving Pioneer" SCRBH series amorphous alloy dry-type transformers. The unique semi-encapsulated three-phase three-column patent technology of amorphous alloy dry-type transformers has obtained first-level energy efficiency certification, national energy conservation certification, and seismic certification, with no-load losses reduced by 60%-80% compared to conventional dry-type transformers. Compared with traditional epoxy resin transformers, they feature ultra-low losses and significant energy-saving effects, bringing greater economic benefits while reducing operating costs. (Patent Numbers: 200820215814.7, 200820215858. X)